Abstract

Performance optimization of polymer electrolyte fuel cells (PEFCs) require precise design and knowledge of the porous catalyst layer (CL) structure. Furthermore, understanding the changes to this structure due to degradation is important for performance retention and durability. Hence, there is a need to characterize these porous networks using advanced imaging techniques with multi-scale resolution. Scanning electron microscopy (SEM) have typically been used for characterizing CL as it provides high contrast and high-resolution imaging.[1] However, SEM alone is limited to 2D visualization, requiring considerable sample handling and preparation, and can suffer from edge effects and large depth of focus; making segmentation and interpretation of pores difficult. By combining SEM with focused ion beam (FIB) milling, a three-dimensional visualization can be acquired by eroding a layer of material using an ion beam and imaging the newly exposed surface to obtain a stack of 2D images through the thickness of the material. In contrast, the use of X-ray computed tomography (XCT) allows for three-dimensional imaging with symmetric resolution by volumetric imaging and is non-intrusive where the sample is intact post imaging. Studies focusing on PEFC degradation using XCT have primarily addressed macro-scale changes with recent work also contributing operando imaging to obtain water distribution changes within the gas diffusion layer (GDL) using micro-XCT. [2-6] However, the dynamic and locally variable nature of catalyst layer degradation demands the use of correlative imaging procedures for nano-XCT analysis. In the present work, a correlative workflow is developed for X-ray tomographic imaging of cathode catalyst layer degradation featuring four-dimensional (3D plus time) operando imaging and ex situ nano-scale imaging (Fig. 1). 4D operando imaging shows high water content observed under the lands and near the surface of the cathode GDL. Macro imaging results show that the catalyst layer solid area fraction is gradually reduced by 25% with crack formation and severe corrosion at the edges of the solid phase. In addition, the thickness is found to decrease by 50%, a similar trend to the measured electrochemical surface area. Localized degradation features such as nano-scale cracks and internal pore-size distribution changes are resolved using nano-XCT and tracked by 3+1D imaging at different stages of degradation. Porosity loss quantified by XCT on the order of 40% from beginning-of-life to end-of-life with reduction in connected pore fraction are observed as well as an increase in average pore size by 50%. The effect of changes at the nano-scale on diffusion properties are also calculated and an empirical model is proposed for these types of catalyst layer structures where Knudsen effects are dominant. Overall, the new findings from this work demonstrate important linkages between CL structure, transport properties, liquid water flooding, and fuel cell performance in the context of degradation. The workflow and analysis methods could henceforth be contemplated when employing computational modeling and catalyst layer design studies where correlation to fuel cell performance and durability is desired. Acknowledgements Funding for this research was provided by the Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, British Columbia Knowledge Development Fund, and Ballard Power Systems through an Automotive Partnership Canada grant. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program. We also thank 4D LABS at Simon Fraser University for technical assistance during FIB/SEM liftout procedure.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call